文章基本信息

标题：The Networked Division of Labor Game based on Adaptive Dynamics
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作者：Siyuan Liu ; Jianlei Zhang
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：3
页码：156-161
DOI：10.1016/j.ifacol.2019.06.027
语种：English
出版社：Elsevier
摘要：AbstractA theoretical investigation on the strategy dynamics in the self-organized division of labor game on networks is performed by means of evolutionary game theory Players situate at the nodes of the employed network, and each edge represents a two-player gaming interaction between neighbors. In our model here, the strategy updating is performed in the form of adaptive dynamics according to the payoff and strategy information. An effective division of labor requires that different strategies are adopted by players at equilibrium state. Here we provide theoretical analysis about the sufficient conditions for realizing the division of labor. A key point in our model is the refining of the adaptive dynamics by introducing the feedback control. Results help to investigate the effectiveness of this provided mechanism, inspired by the thought of negative feedback. In this sense, results help to design effective control rules driving the self-organization of strategies to maximize the benefit of the multi-agent system.
关键词：KeywordsComplex network systemsMulti-agent systemsDecision support systems